Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the world around us.

New productized training empowers employees with increased AI skills, improving tag and shape accuracy by 15% each and reducing overall project ramp time by 50% SAN FRANCISCO, CA / ACCESSWIRE / ...

Training AI or large language models (LLMs) with your own data—whether for personal use or a business chatbot—often feels like navigating a maze: complex, time-consuming, and resource-intensive. If ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...